code: def lp_encode(self, data):
      x = data.ndata["feat"]
      for i in range(self.num_layer - 1):
          x = self.convs[i](data, x).flatten(1)
          if i != self.num_layer - 2:
              x = activate_func(x, self.args["act"])
  
      return x
  
file_path: AutoGL/autogl/module/model/dgl/gat.py
imports: import torch
  import torch.nn.functional
  from dgl.nn.pytorch.conv import GATConv
  from .None import register_model
  from .base import BaseAutoModel, activate_func
  from ....utils import get_logger
label_desc: Use image node_id 3 for calling the GAT obj's underlying member method code with example usage: obj.lp_encode(data) and returns: x